Founding Engineer (AI/ML)

San Franciscofull timeOn Site

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Must-Have Skills for This Role

$130k–$170k

H1B: yes

Clera Founding Engineer (AI/ML) at Clera to build and own recommendation, ranking, retrieval, and matching systems for an AI-powered recruiting marketplace. Collaborate closely with the founding team to translate product goals into production software.

Responsibilities

Build the intelligence layer for an AI-powered recruiting marketplace, including the recommendation, ranking, retrieval, and matching systems at the core of the product. You will own these systems end to end and work closely with the founding team to turn product goals into production software.
Develop and operate recommendation, ranking, and retrieval systems.
Build LLM-powered matching features that improve candidate and role alignment.
Take features from problem definition through production, shipping at a rapid cadence.
Architect and maintain the data pipelines and services that support production models.
Partner with the founding team to translate product goals into working systems.

Qualification

ReactSupabasePrismaembeddingsvector searchworkflow automation tools

Required

Two to five years of professional software engineering experience building and shipping end-to-end product features.
Production experience with recommendation systems, ranking algorithms, or ML-powered matching, plus evidence of personally shipping ML models or products to users.
Strong production engineering skills in TypeScript or Python, with hands-on experience using PyTorch, TensorFlow, or an equivalent ML framework.
Experience building LLM-powered features with production APIs, as well as maintaining production data pipelines and services.
Strong computer science fundamentals and experience working in fast-paced environments with rapid iteration.
React, Supabase, Prisma, Typesense or similar search infrastructure, embeddings, vector search, and workflow automation tools are useful additions.
Demonstrated technical achievement through substantial projects, open-source work, or comparable experience.

Preferred

React
Supabase
Prisma
Typesense or similar search infrastructure
embeddings
vector search
workflow automation tools
Demonstrated technical achievement through substantial projects, open-source work, or comparable experience